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Maximum power tracking for photovoltaic power system: Development and experimental comparison of two algorithms

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  1. Wang, B.C. & Sechilariu, M. & Locment, F., 2013. "Power flow Petri Net modelling for building integrated multi-source power system with smart grid interaction," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 91(C), pages 119-133.
  2. Lalili, D. & Mellit, A. & Lourci, N. & Medjahed, B. & Berkouk, E.M., 2011. "Input output feedback linearization control and variable step size MPPT algorithm of a grid-connected photovoltaic inverter," Renewable Energy, Elsevier, vol. 36(12), pages 3282-3291.
  3. Yao, Ganzhou & Luo, Zirong & Lu, Zhongyue & Wang, Mangkuan & Shang, Jianzhong & Guerrerob, Josep M., 2023. "Unlocking the potential of wave energy conversion: A comprehensive evaluation of advanced maximum power point tracking techniques and hybrid strategies for sustainable energy harvesting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
  4. Kakosimos, Panagiotis E. & Kladas, Antonios G., 2011. "Implementation of photovoltaic array MPPT through fixed step predictive control technique," Renewable Energy, Elsevier, vol. 36(9), pages 2508-2514.
  5. Corrêa, Tomás Perpétuo & Seleme, Seleme Isaac & Silva, Selênio Rocha, 2012. "Efficiency optimization in stand-alone photovoltaic pumping system," Renewable Energy, Elsevier, vol. 41(C), pages 220-226.
  6. Rawat, Rahul & Kaushik, S.C. & Lamba, Ravita, 2016. "A review on modeling, design methodology and size optimization of photovoltaic based water pumping, standalone and grid connected system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1506-1519.
  7. Verma, Vishal & Kane, Aarti & Singh, Bhim, 2016. "Complementary performance enhancement of PV energy system through thermoelectric generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1017-1026.
  8. Parlak, Koray Sener, 2014. "FPGA based new MPPT (maximum power point tracking) method for PV (photovoltaic) array system operating partially shaded conditions," Energy, Elsevier, vol. 68(C), pages 399-410.
  9. Shahrooz Hajighorbani & Mohd Amran Mohd Radzi & Mohd Zainal Abidin Ab Kadir & Suhaidi Shafie & Muhammad Ammirrul Atiqi Mohd Zainuri, 2016. "Implementing a Novel Hybrid Maximum Power Point Tracking Technique in DSP via Simulink/MATLAB under Partially Shaded Conditions," Energies, MDPI, vol. 9(2), pages 1-25, January.
  10. Salah Beni Hamed & Mouna Ben Hamed & Lassaad Sbita, 2022. "Robust Voltage Control of a Buck DC-DC Converter: A Sliding Mode Approach," Energies, MDPI, vol. 15(17), pages 1-21, August.
  11. Kofinas, P. & Doltsinis, S. & Dounis, A.I. & Vouros, G.A., 2017. "A reinforcement learning approach for MPPT control method of photovoltaic sources," Renewable Energy, Elsevier, vol. 108(C), pages 461-473.
  12. Hongwei Wu & Fabrice Locment & Manuela Sechilariu, 2019. "Experimental Implementation of a Flexible PV Power Control Mechanism in a DC Microgrid," Energies, MDPI, vol. 12(7), pages 1-12, March.
  13. Sueyoshi, Toshiyuki & Goto, Mika, 2017. "Measurement of returns to scale on large photovoltaic power stations in the United States and Germany," Energy Economics, Elsevier, vol. 64(C), pages 306-320.
  14. Colmenar-Santos, Antonio & Reino-Rio, Cipriano & Borge-Diez, David & Collado-Fernández, Eduardo, 2016. "Distributed generation: A review of factors that can contribute most to achieve a scenario of DG units embedded in the new distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1130-1148.
  15. Fabrice Locment & Manuela Sechilariu, 2015. "Modeling and Simulation of DC Microgrids for Electric Vehicle Charging Stations," Energies, MDPI, vol. 8(5), pages 1-22, May.
  16. Davies, Huw Charles & Datardina, Naeem, 2013. "A probabilistic model for 1st stage dimensioning of renewable hydrogen transport micro-economies," Renewable Energy, Elsevier, vol. 60(C), pages 355-362.
  17. Mirzahosseini, Alireza Hajiseyed & Taheri, Taraneh, 2012. "Environmental, technical and financial feasibility study of solar power plants by RETScreen, according to the targeting of energy subsidies in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2806-2811.
  18. Canras Batunlu & Mohamad Alrweq & Alhussein Albarbar, 2016. "Effects of Power Tracking Algorithms on Lifetime of Power Electronic Devices Used in Solar Systems," Energies, MDPI, vol. 9(11), pages 1-23, October.
  19. Sánchez Reinoso, Carlos R. & Milone, Diego H. & Buitrago, Román H., 2013. "Simulation of photovoltaic centrals with dynamic shading," Applied Energy, Elsevier, vol. 103(C), pages 278-289.
  20. Papaioannou, Ioulia T. & Purvins, Arturs, 2012. "Mathematical and graphical approach for maximum power point modelling," Applied Energy, Elsevier, vol. 91(1), pages 59-66.
  21. Rajesh, R. & Carolin Mabel, M., 2015. "A comprehensive review of photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 231-248.
  22. Belkaid, A. & Colak, I. & Isik, O., 2016. "Photovoltaic maximum power point tracking under fast varying of solar radiation," Applied Energy, Elsevier, vol. 179(C), pages 523-530.
  23. Choi, Woo-Young & Lee, Change-Goo, 2012. "Photovoltaic panel integrated power conditioning system using a high efficiency step-up DC–DC converter," Renewable Energy, Elsevier, vol. 41(C), pages 227-234.
  24. Mellit, A. & Rezzouk, H. & Messai, A. & Medjahed, B., 2011. "FPGA-based real time implementation of MPPT-controller for photovoltaic systems," Renewable Energy, Elsevier, vol. 36(5), pages 1652-1661.
  25. Kane, Aarti & Verma, Vishal & Singh, Bhim, 2017. "Optimization of thermoelectric cooling technology for an active cooling of photovoltaic panel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1295-1305.
  26. Sueyoshi, Toshiyuki & Goto, Mika, 2014. "Photovoltaic power stations in Germany and the United States: A comparative study by data envelopment analysis," Energy Economics, Elsevier, vol. 42(C), pages 271-288.
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